If you work as a technical writer, you know that your days are filled with API references, knowledge bases, release notes, UX copy, and the occasional Git-based headache. But what today can make a huge difference in keeping the work consistent and scalable it’s a curated stack of AI tools, each chosen for one thing they do really well.
Here are the five AI-powered tools you can rely on every single day.
1. Document360 + AI Assist
For: Knowledge base creation and intelligent article linking
Document360 is one of the best all-in-one platforms for building product knowledge bases. The AI Assist feature helps:
- Autocomplete sections based on existing documentation
- Suggest related topics and link them automatically
- Generate FAQs directly from the article content
It’s context-aware and tuned for docs, not generic blog writing. It’s very useful especially for clients that publish public-facing help centers or need internal knowledge hubs for support teams.
2. Writer.com
For: Style guide enforcement at scale
If you’re writing for multiple clients, each with their tone of voice, glossary, and compliance needs, Writer is a lifesaver. It acts like a Grammarly on steroids—specifically built for teams, tech, and enterprise writing.
It:
- Flags inconsistent terminology and voice violations
- Offers real-time suggestions based on a custom style guide
- Helps maintain inclusive, accessible language
Perfect for when you’are co-writing with devs, PMs, or other writers—everyone stays aligned.
3. ReadMe + AI Reference Generator
For: API reference generation and OpenAPI augmentation
ReadMe is built around OpenAPI, a cornerstone of modern API documentation and an essential tool for today’s technical writers, and its AI auto-generates:
- Descriptions of endpoints based on schema names
- Sample requests and responses
- Parameter and response tables with real docs structure
It even tells you when something is missing from your spec. Ideal for teams that don’t have time to write docs by hand, but still want high-quality developer experience.
4. ChatGPT (Custom GPTs + Local Knowledge Base)
For: Fast rewriting, explanation, and tone adaptation
Yes, the classic ChatGPT we all know can become a real powerhouse when used with custom GPTs and your local knowledge base.
- Client-specific style guides
- Project glossaries
- OpenAPI specs and markdown repos
Then you can use it for:
- Rewriting dense dev notes into clear prose
- Switching tone from “dev to PM” or “dev to end-user”
- Auto-generating edge case examples or intro blurbs
5. Typo
For: Clean, consistent changelogs from GitHub commits
Typo is a tool that reads your Git commits and PRs, and writes clear, structured release notes. What I love:
- It uses semantic commit messages and turns them into human-friendly changelogs
- It formats notes based on templates (Markdown, HTML, etc.)
- It even suggests section titles and tags (Fix, Feature, Deprecation)
Release notes go from a painful back-and-forth with devs to a 2-minute job.
Why you should not use a “One-Tool-To-Rule-Them-All”
The truth is: general-purpose AI doesn’t cut it for technical documentation. I’ve tested the all-in-one writing tools, and they tend to fall apart when structure, traceability, or compliance matters.
The tools above aren’t writing for me—they’re helping me write better, faster, more consistently, with the right level of control, and this really is what AI should be about!